AI-102T00: Designing and Implementing a Microsoft Azure AI Solution

Designing and Implementing a Microsoft Azure AI

Certification AI-102T00: Designing and Implementing a Microsoft Azure AI Solution

Enrolled 0
  • AI Fundamentals & Decision Support – Understand core AI concepts and solutions.
  • Computer Vision & NLP – Work with image analysis, text processing, and facial recognition.
  • Conversational AI & Bots – Develop intelligent chatbots and virtual assistants.
  • Cognitive Services Integration – Implement Vision, Language, Speech, and decision support solutions.
  • Hands-on Labs & Real-world Applications – Gain practical experience in deploying AI models.
  • Security & Containerization – Manage AI solutions securely within Azure.
Categories Microsoft

Fundamental Learnings

Training by Top Microsoft-Certified Trainers

1 Day of Live, Instructor-Led Sessions

Latest, Up-to-date Curriculum, Approved by Industry Experts

Access to a Digital Library of Learning Resources

Comprehensive Knowledge of Core Learnings

Blend of classroom sessions and hands-on training

Schedules

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Ready to unlock the full potential and become an expert?

Prerequisites for this Courese

Prerequisites and Eligibility

  • Familiarity with Azure fundamentals.
  • Experience with C#, Python, or a similar programming language.
  • Basic understanding of AI concepts and machine learning.

Things Included in the course learning

Course Curriculum

Module 1: – Introduction to AI and AI on Azure
• Introduction to AI • Considerations for responsible AI • Azure Machine Learning • Introduction to azure ai services • Azure AI services rest API and sdk • Considerations of azure ai services security • Monitor azure ai services • Deploy azure ai services in containers • Exercise: Get started with azure ai services • Exercise: Manager azure ai service security • Exercise: Monitor azure ai services • Exercise: Use azure ai services container

Module 2: – Develop computer vision solutions with azure ai vision
• Azure AI Vision – Image Analysis • Image analysis API and options • Azure AI vision OCR • Face detection, analysis and recognition • Custom azure ai vision model for classification and object detection • introduction to video indexer for video analysis • Exercise: Explore features in Vision Studio • Exercise: Analyze Images with Azure AI Vision • Exercise: Read text in images • Exercise: Detect and analyze faces • Exercise: Classify Images with Azure AI Vision custom model • Exercise: Analyze the video using video indexer

Module 3: – Develop natural language processing solutions
• Introduction to azure ai language service for language analysis • Text translation using translator service • Introduction to question and answering • Creating a knowledge base • Introduction to the language understanding • Custom text classification • Introduction to the speech service • Introduction to speech synthesis markup language • Translating speech to text • Exercise: Analyze text • Exercise: Translate text • Exercise: Create a question and answering solution • Exercise: Create a conversational language understanding app • Exercise: Recognize and Synthesize Speech

Module 4: – Develop generative ai solutions with azure open AI service
• Introduction to generative ai • Introduction to azure open-ai studio • Various types of models in azure OpenAI • Various Api's in azure OpenAI • Testing models in azure OpenAI studio playground • Integrating Azure OpenAI into your app • Using the Azure OpenAI REST API: completion, chat completion • Prompt engineering in azure OpenAI • Implement Retrieval Augmented Generation (RAG) with Azure Open AI Service • Exercise: Provision an Azure OpenAI resource in Azure • Exercise: Get started with Azure OpenAI Service • Exercise: Integrate Azure OpenAI into your app • Exercise: Utilize prompt engineering in your app Exercise: Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service

Module 5: – Creating the knowledge mining solution
• Introduction to the azure ai search • Core Components of an AI Search Solution • How an Enrichment Pipeline Works • Introduction to Custom Skills • What is a Knowledge Store? • Implementing a Knowledge Store • Exercise – Create an Azure Cognitive Search Solution • Exercise – Create a Custom Skill for Azure AI Search

Module 6: – Develop solutions with Azure AI Document Intelligence
• Introduction to Document Intelligence Service • Prebuilt models in document intelligence service • Custom models in document intelligence service • Exercise – Use prebuilt Document Intelligence models • Exercise – Extract Data from Form

Things Included in the course learning

Our Learners Love Us

Preeti Bhatiya Project Manager

Recently attended the Scrum Master course. The instructor demonstrated profound knowledge of Agile methodologies and Scrum in particular. Comprehensive course materials, including slides, workbooks, and supplementary readings, have become invaluable resources that I frequently reference in my daily role.

Ritesh Jain Project Mangaer

This is an amazing training ecosystem. They had assigned individual relationship managers who not only did the tactical things of reminding of sessions etc, but they also connected me with people who were experts for career guidance. This is the best example of customer delight - you not just engage clients but delight them! Highly recommended for Agile related courses.

Kshitij M Team Lead

I did a PSM-1course from One iTech and it was truly an enriching experience. The trainer was very good and has full expertise on the subject. He was quite interactive and engaging, always ensured everyone understood the concepts and fundamentals of Scrum Agile. He kept revising and recapping all important concepts throughout the session during these two days.

Sakshi Jha AI Developer

One iTech is very professional in handling entire process. They make sure all the support is provided during training and afterwards. I have done 2 courses with them and both times it was a great experience. The workshop was a well-organized event. The trainer was an expert which made it a valuable training.

What will I learn in this course

Output of this Course

  • AI Fundamentals & Decision Support – Understand core AI concepts and solutions.
  • Computer Vision & NLP – Work with image analysis, text processing, and facial recognition.
  • Conversational AI & Bots – Develop intelligent chatbots and virtual assistants.
  • Cognitive Services Integration – Implement Vision, Language, Speech, and decision support solutions.
  • Hands-on Labs & Real-world Applications – Gain practical experience in deploying AI models.
  • Security & Containerization – Manage AI solutions securely within Azure.

Who Should Enroll Now Azure AI Fundamentals Course

Who is this course for

  • Software Engineers and Developers with an interest in AI
  • AI and Machine Learning Engineers
  • Data Scientists looking to apply AI in their models
  • Cloud Solution Architects focusing on AI-based solutions
  • IT Professionals aiming to expand their Azure skillset
  • Technical Leads and Project Managers overseeing AI projects
  • DevOps Engineers integrating AI into CI/CD pipelines
  • Application Builders incorporating AI features into apps
  • University Students and Researchers in computer science
  • Professionals preparing for the Azure AI Engineer Associate certificat
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